Cemre CubukcuogluIoannis ChatzikonstantinouM. Fatih TasgetirenI. Sevil SariyildizQuanke Pan2025-10-062016199948931999-489310.3390/a9030051https://www.scopus.com/inward/record.uri?eid=2-s2.0-84979944464&doi=10.3390%2Fa9030051&partnerID=40&md5=3c4c100ac6bba0b0006e03a6df9397f4https://gcris.yasar.edu.tr/handle/123456789/9777This paper is concerned with the application of computational intelligence techniques to the conceptual design and development of a large-scale floating settlement. The settlement in question is a design for the area of Urla which is a rural touristic region located on the west coast of Turkey near the metropolis of Izmir. The problem at hand includes both engineering and architectural aspects that need to be addressed in a comprehensive manner. We thus adapt the view as a multi-objective constrained real-parameter optimization problem. Specifically we consider three objectives which are conflicting. The first one aims at maximizing accessibility of urban functions such as housing and public spaces as well as special functions such as a marina for yachts and a yacht club. The second one aims at ensuring the wind protection of the general areas of the settlement by adequately placing them in between neighboring land masses. The third one aims at maximizing visibility of the settlement from external observation points so as to maximize the exposure of the settlement. To address this complex multi-objective optimization problem and identify lucrative alternative design solutions a multi-objective harmony search algorithm (MOHS) is developed and applied in this paper. When compared to the Differential Evolution algorithm developed for the problem in the literature we demonstrate that MOHS achieves competitive or slightly better performance in terms of hyper volume calculation and gives promising results when the Pareto front approximation is examined. © 2017 Elsevier B.V. All rights reserved.EnglishComputational Design, Evolutionary Computation, Floating City Optimization, Harmony Search Algorithm, Multi-objective Optimization, Performance-based Design, Algorithms, Approximation Algorithms, Artificial Intelligence, Conceptual Design, Constrained Optimization, Design, Ecodesign, Evolutionary Algorithms, Learning Algorithms, Optimization, Pareto Principle, Sustainable Development, Yachts, Computational Design, Computational Intelligence Techniques, Constrained Real-parameter Optimization, Design And Development, Differential Evolution Algorithms, Harmony Search Algorithms, Multi-objective Optimization Problem, Performance Based Design, Multiobjective OptimizationAlgorithms, Approximation algorithms, Artificial intelligence, Conceptual design, Constrained optimization, Design, Ecodesign, Evolutionary algorithms, Learning algorithms, Optimization, Pareto principle, Sustainable development, Yachts, Computational design, Computational intelligence techniques, Constrained real-parameter optimization, Design and Development, Differential evolution algorithms, Harmony search algorithms, Multi-objective optimization problem, Performance based design, Multiobjective optimizationArticle